HRB is hiring: Senior Machine Learning Engineer in San Francisco
HRB, San Francisco, CA, United States
Senior Machine Learning Engineer
Location: San Jose, CA (Onsite)
About Mendel: Mendel AI is at the forefront of transforming healthcare through cutting-edge AI and technology. Our mission is to harness the power of clinical data and deliver actionable insights that drive better patient outcomes. At Mendel, we believe in the potential of AI to revolutionize the healthcare industry by providing solutions that are not just faster but more intelligent and reliable. Our comprehensive clinical intelligence platform, Hypercube, combines advanced machine learning with deep clinical understanding to deliver precise, actionable insights from complex data sets.
Role Overview:We seek a highly skilled and motivated Machine Learning Engineer to join our dynamic team. In this role, you will design, develop, and deploy machine learning models, including LLM, that enhance our AI-powered clinical intelligence platform. You will work closely with researchers, engineers, and clinical experts to create innovative solutions that drive our mission forward.
Key Responsibilities:
Develop and implement scalable and reliable AI and machine learning models and algorithms.
Enable the research and AI development to accelerate overall product development.
Design and build Services, Tools, and Platforms to support the growth.
Collaborate with Eng, AI, and clinical experts to understand the intricacies of healthcare data and refine model performance.
Design and execute experiments to test the efficacy of new models and algorithms.
Deploy and maintain machine learning and AI models in a production environment, ensuring scalability and reliability.
Continuously monitor and optimize the performance of deployed models.
Stay updated with the latest advancements in machine learning and AI, and incorporate new techniques and tools as appropriate.
Participate in code reviews and contribute to developing best practices for machine learning at Mendel.
Qualifications:
Bachelor’s or Master’s in Computer Science, Machine Learning, Data Science, or a related field.
Minimum of 5 years of experience in building AI/ML training and inference pipelines using MLFlow, Kubeflow in GCP, AWS and/or Azure.
Proven experience in developing and deploying machine learning models.
Proficiency in programming languages such as Python, R, or Java.
Proven experience in ML, AI Algorithms, model tuning and optimization.
Strong understanding of machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-Learn).
Experience with data preprocessing, feature engineering, and model evaluation techniques.
Proficiency in cloud infrastructure is a plus.
Familiarity with healthcare data and clinical expertise is a plus.
Excellent problem-solving skills and attention to detail.
Ability to work collaboratively in a fast-paced, multidisciplinary environment.
Strong communication and interpersonal skills, with the ability to convey complex technical concepts to non-technical stakeholders.
What We Offer:
Competitive salary and benefits package.
Opportunity to work with a talented and passionate team at the cutting edge of AI and healthcare.
A collaborative and inclusive work environment that values creativity and innovation.
Professional development opportunities and support for continuous learning.
The chance to make a meaningful impact on the healthcare industry and improve patient outcomes.
#J-18808-Ljbffr
In Summary: Mendel AI is at the forefront of transforming healthcare through cutting-edge AI and technology . Mendel's mission is to harness the power of clinical data and deliver actionable insights that drive better patient outcomes . You will design, develop, and deploy machine learning models that enhance our AI-powered clinical intelligence platform .
En Español: En Mendel creemos en el potencial de la inteligencia artificial para revolucionar la industria sanitaria proporcionando soluciones que no solo sean más rápidas sino también más inteligentes y confiables. Nuestra plataforma completa de inteligencia clínica, Hypercube, combina aprendizaje automático avanzado con una comprensión clínica profunda para ofrecer información precisa y accionable a partir de conjuntos de datos complejos. Trabajará en estrecha colaboración con investigadores, ingenieros y expertos clínicos para crear soluciones innovadoras que impulsen nuestra misión. Responsabilidades clave: Desarrollar e implementar modelos y algoritmos de IA y aprendizaje automático escalables y fiables. Habilitar la investigación y el desarrollo de AI para acelerar el desarrollo general del producto. Diseñar y construir Servicios, Herramientas y Plataformas para apoyar el crecimiento. Colaborar con Eng, AI y experto clínico para comprender las complejidades de los datos sanitarios y refinar el rendimiento del modelo de innovación. diseñar y ejecutar experimentos para probar la eficacia de nuevos modelos y algorithmos. Implementar y mantener modelos y modelos de inteligencia artificial maquinaria en un entorno de producción, asegurando escalabilidad y fiabilidad. Monitorear y optimizar de manera detallada los beneficios interpersonales del despliegamiento de modelos. Actualizar con los avances en técnicas de atención a la salud y alta velocidad, e incorporar nuevas herramientas y conocimientos técnicos como GCP. Participar en proyectos profesionales de código y análisis de datos para desarrollar mejores prácticas y capacidades tecnológicas y mejorar la capacidad de trabajo, así como una experiencia avanzada en tecnología de aprendizaje de máquina o capacitación de software, mejor comprensión de sistemas informática (MQTM).
Location: San Jose, CA (Onsite)
About Mendel: Mendel AI is at the forefront of transforming healthcare through cutting-edge AI and technology. Our mission is to harness the power of clinical data and deliver actionable insights that drive better patient outcomes. At Mendel, we believe in the potential of AI to revolutionize the healthcare industry by providing solutions that are not just faster but more intelligent and reliable. Our comprehensive clinical intelligence platform, Hypercube, combines advanced machine learning with deep clinical understanding to deliver precise, actionable insights from complex data sets.
Role Overview:We seek a highly skilled and motivated Machine Learning Engineer to join our dynamic team. In this role, you will design, develop, and deploy machine learning models, including LLM, that enhance our AI-powered clinical intelligence platform. You will work closely with researchers, engineers, and clinical experts to create innovative solutions that drive our mission forward.
Key Responsibilities:
Develop and implement scalable and reliable AI and machine learning models and algorithms.
Enable the research and AI development to accelerate overall product development.
Design and build Services, Tools, and Platforms to support the growth.
Collaborate with Eng, AI, and clinical experts to understand the intricacies of healthcare data and refine model performance.
Design and execute experiments to test the efficacy of new models and algorithms.
Deploy and maintain machine learning and AI models in a production environment, ensuring scalability and reliability.
Continuously monitor and optimize the performance of deployed models.
Stay updated with the latest advancements in machine learning and AI, and incorporate new techniques and tools as appropriate.
Participate in code reviews and contribute to developing best practices for machine learning at Mendel.
Qualifications:
Bachelor’s or Master’s in Computer Science, Machine Learning, Data Science, or a related field.
Minimum of 5 years of experience in building AI/ML training and inference pipelines using MLFlow, Kubeflow in GCP, AWS and/or Azure.
Proven experience in developing and deploying machine learning models.
Proficiency in programming languages such as Python, R, or Java.
Proven experience in ML, AI Algorithms, model tuning and optimization.
Strong understanding of machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-Learn).
Experience with data preprocessing, feature engineering, and model evaluation techniques.
Proficiency in cloud infrastructure is a plus.
Familiarity with healthcare data and clinical expertise is a plus.
Excellent problem-solving skills and attention to detail.
Ability to work collaboratively in a fast-paced, multidisciplinary environment.
Strong communication and interpersonal skills, with the ability to convey complex technical concepts to non-technical stakeholders.
What We Offer:
Competitive salary and benefits package.
Opportunity to work with a talented and passionate team at the cutting edge of AI and healthcare.
A collaborative and inclusive work environment that values creativity and innovation.
Professional development opportunities and support for continuous learning.
The chance to make a meaningful impact on the healthcare industry and improve patient outcomes.
#J-18808-Ljbffr
In Summary: Mendel AI is at the forefront of transforming healthcare through cutting-edge AI and technology . Mendel's mission is to harness the power of clinical data and deliver actionable insights that drive better patient outcomes . You will design, develop, and deploy machine learning models that enhance our AI-powered clinical intelligence platform .
En Español: En Mendel creemos en el potencial de la inteligencia artificial para revolucionar la industria sanitaria proporcionando soluciones que no solo sean más rápidas sino también más inteligentes y confiables. Nuestra plataforma completa de inteligencia clínica, Hypercube, combina aprendizaje automático avanzado con una comprensión clínica profunda para ofrecer información precisa y accionable a partir de conjuntos de datos complejos. Trabajará en estrecha colaboración con investigadores, ingenieros y expertos clínicos para crear soluciones innovadoras que impulsen nuestra misión. Responsabilidades clave: Desarrollar e implementar modelos y algoritmos de IA y aprendizaje automático escalables y fiables. Habilitar la investigación y el desarrollo de AI para acelerar el desarrollo general del producto. Diseñar y construir Servicios, Herramientas y Plataformas para apoyar el crecimiento. Colaborar con Eng, AI y experto clínico para comprender las complejidades de los datos sanitarios y refinar el rendimiento del modelo de innovación. diseñar y ejecutar experimentos para probar la eficacia de nuevos modelos y algorithmos. Implementar y mantener modelos y modelos de inteligencia artificial maquinaria en un entorno de producción, asegurando escalabilidad y fiabilidad. Monitorear y optimizar de manera detallada los beneficios interpersonales del despliegamiento de modelos. Actualizar con los avances en técnicas de atención a la salud y alta velocidad, e incorporar nuevas herramientas y conocimientos técnicos como GCP. Participar en proyectos profesionales de código y análisis de datos para desarrollar mejores prácticas y capacidades tecnológicas y mejorar la capacidad de trabajo, así como una experiencia avanzada en tecnología de aprendizaje de máquina o capacitación de software, mejor comprensión de sistemas informática (MQTM).